A breakthrough in machine learning has also brought about a “game changer” for the science of metabolomics – and will hasten the development of diagnostic and predictive tests for Alzheimer’s, cancer, diabetes and numerous other conditions, leading to improved prevention and treatment.

University of Alberta computing science PhD graduate Siamak Ravanbakhsh published his research in the scientific journal PLOS ONE on an automated process that increases the speed and accuracy of producing a person’s metabolic profile from a sample of biofluid such as blood serum or cerebrospinal fluid using NMR spectrometry. Such a profile can provide a functional read-out of the developmental, physiological or pathological state of a biological system. This ability to quickly and accurately measure the levels of various molecules in a single sample of biofluid marks a significant advance for simple, cost-effective, predictive medical screening.

December 2, 2016 - "In a developed market, you are competing with cheaper forms of conventional power generation, such as gas and also hydro. Energy storage costs still have some way to come down for a hybrid plant like Kennedy Energy Park to be competitive," he said.

December 1, 2016 - SEATTLE - When firefighter paramedics Morlon Malveaux and Mark Pedeferri learned that their powerhorse diesel ambulance was going to be traded for a gas-powered hybrid they were more than a little concerned. The two, who run a Medic One rig ...